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Configuration error
Configuration error
| import datetime | |
| import json | |
| import os | |
| saved_params_shared = {"model_name", "model_hash", "initial_step", "num_of_dataset_images", "learn_rate", "batch_size", "clip_grad_mode", "clip_grad_value", "gradient_step", "data_root", "log_directory", "training_width", "training_height", "steps", "create_image_every", "template_file", "gradient_step", "latent_sampling_method"} | |
| saved_params_ti = {"embedding_name", "num_vectors_per_token", "save_embedding_every", "save_image_with_stored_embedding"} | |
| saved_params_hypernet = {"hypernetwork_name", "layer_structure", "activation_func", "weight_init", "add_layer_norm", "use_dropout", "save_hypernetwork_every"} | |
| saved_params_all = saved_params_shared | saved_params_ti | saved_params_hypernet | |
| saved_params_previews = {"preview_prompt", "preview_negative_prompt", "preview_steps", "preview_sampler_index", "preview_cfg_scale", "preview_seed", "preview_width", "preview_height"} | |
| def save_settings_to_file(log_directory, all_params): | |
| now = datetime.datetime.now() | |
| params = {"datetime": now.strftime("%Y-%m-%d %H:%M:%S")} | |
| keys = saved_params_all | |
| if all_params.get('preview_from_txt2img'): | |
| keys = keys | saved_params_previews | |
| params.update({k: v for k, v in all_params.items() if k in keys}) | |
| filename = f'settings-{now.strftime("%Y-%m-%d-%H-%M-%S")}.json' | |
| with open(os.path.join(log_directory, filename), "w") as file: | |
| json.dump(params, file, indent=4) | |